Automatic Mapping of Linearwoody Vegetation Features in Agricultural Landscapes

Date

2008-07-11

Author

AKSOY, SELİM
AKÇAY, HÜSEYİN GÖKHAN
Cinbiş, Ramazan Gökberk
Wassenaar, Tom

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Development of automatic methods for agricultural mapping and monitoring using remotely sensed imagery has been an important research problem. We describe algorithms that exploit the spectral, textural and object shape information using hierarchical feature extraction and decision making steps for automatic mapping of linear strips of woody vegetation in very high-resolution imagery. First, combinations of multispectral values and multi-scale Gabor and entropy texture features are used for training pixel level statistical classifiers for characterizing individual trees and tree groups with respect to their surroundings. Then, decisions based on object level texture features and morphological shape analysis provide the final detection of woody vegetation having a linear structure. Experiments on QuickBird imagery from different sites show that the proposed algorithms provide good localization of linear strips of woody vegetation in different landscapes.

Subject Keywords

Vegetation mapping, Shape, Strips, Computerized monitoring, Remote monitoring, Feature extraction, Decision making, Entropy, Classification tree analysis, Image texture analysis

URI

https://hdl.handle.net/11511/40339

DOI

https://doi.org/10.1109/igarss.2008.4779743

Conference Name

IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium

Collections

Department of Computer Engineering, Conference / Seminar

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Citation Formats

S. AKSOY, H. G. AKÇAY, R. G. Cinbiş, and T. Wassenaar, “Automatic Mapping of Linearwoody Vegetation Features in Agricultural Landscapes,” presented at the IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium, Boston, MA, USA, 2008, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/40339.